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Hybrid attacks on model-based social recommender systems

Author

Listed:
  • Yu, Junliang
  • Gao, Min
  • Rong, Wenge
  • Li, Wentao
  • Xiong, Qingyu
  • Wen, Junhao

Abstract

With the growing popularity of the online social platform, the social network based approaches to recommendation emerged. However, because of the open nature of rating systems and social networks, the social recommender systems are susceptible to malicious attacks. In this paper, we present a certain novel attack, which inherits characteristics of the rating attack and the relation attack, and term it hybrid attack. Furtherly, we explore the impact of the hybrid attack on model-based social recommender systems in multiple aspects. The experimental results show that, the hybrid attack is more destructive than the rating attack in most cases. In addition, users and items with fewer ratings will be influenced more when attacked. Last but not the least, the findings suggest that spammers do not depend on the feedback links from normal users to become more powerful, the unilateral links can make the hybrid attack effective enough. Since unilateral links are much cheaper, the hybrid attack will be a great threat to model-based social recommender systems.

Suggested Citation

  • Yu, Junliang & Gao, Min & Rong, Wenge & Li, Wentao & Xiong, Qingyu & Wen, Junhao, 2017. "Hybrid attacks on model-based social recommender systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 171-181.
    • Handle: RePEc:eee:phsmap:v:483:y:2017:i:c:p:171-181
    DOI: 10.1016/j.physa.2017.04.048
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    References listed on IDEAS

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    1. Qian, Fulan & Zhao, Shu & Tang, Jie & Zhang, Yanping, 2016. "SoRS: Social recommendation using global rating reputation and local rating similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 61-72.
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    Cited by:

    1. Jasem M. Alostad, 2019. "Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-18, March.
    2. Shanshan Wan & Ying Liu, 2022. "A security detection approach based on autonomy-oriented user sensor in social recommendation network," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501329221, March.
    3. Tauli-Corpuz, Vicky & Alcorn, Janis & Molnar, Augusta & Healy, Christina & Barrow, Edmund, 2020. "Cornered by PAs: Adopting rights-based approaches to enable cost-effective conservation and climate action," World Development, Elsevier, vol. 130(C).

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